2. Build and Evaluate Research Systems

• Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
• Train, test, and evaluate models using modern AI and machine learning tools.
• Analyze results carefully and draw clear, evidence-based conclusions.
• Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
• Iterate quickly from early hypothesis through validated technical insight.

3. Translate Research into Practical Impact

• Collaborate closely with Research, Engineering, Product, and Operations teams.
• Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
• Help identify which ideas are ready to move from exploration into scalable, real-world applications.
• Communicate technical findings clearly to both specialized and cross-functional audiences.

4. Contribute to the Research Community

• Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
• Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
• Represent Turing thoughtfully within the broader AI research community.

What We’re Looking For

• Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
• Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
• Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
• Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
• Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
• Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.

A note from our CTO, Ece Kamar

Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.

Why Turing

• Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
• Build datasets and environments that directly improve the capabilities of advanced AI systems.
• Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
• Apply frontier AI innovations to high-value enterprise workflows.
• Operate with high autonomy, rapid iteration, and meaningful commercial impact.
• Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
• Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.

Compensation: $250,000 to $350,000 OTE + Equity

Values

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
  
  
• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
  
  
• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
  
  
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
  
  
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
  
  
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
  
  
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.